Quant Scavenger Nasdaq Exness
- Эксперты
- Версия: 1.0
- Активации: 5
Overview
Exness Quant Scavenger – Nasdaq USTECm EA is a single-asset, machine learning–driven quantitative Expert Advisor engineered exclusively for trading:
USTECm (Nasdaq CFD) on Exness
This system is not multi-asset and not generalized.
It is built specifically for the structural behavior of the Nasdaq index CFD (USTECm symbol) as provided by Exness.
The embedded quantitative model is trained exclusively on:
H1 (1-hour timeframe) data
It is not a multi-timeframe system and must be operated strictly on H1.
Core Design Principles
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Single-asset specialization (USTECm only)
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Single-timeframe specialization (H1 only)
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Quantitative model-driven entries
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Portfolio-based risk allocation
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Structured, non-scalping execution
This EA is engineered specifically for the Nasdaq CFD structure under Exness conditions.
Model & Monthly Updates
The quantitative model:
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Is trained on historical USTECm H1 data
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Uses structured feature inputs derived from price behavior
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Is embedded directly into the EA logic
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Is reviewed and updated monthly
Monthly Updates Allow:
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Adaptation to volatility regime shifts
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Recalibration to structural index behavior changes
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Improved robustness over time
Each update reflects refreshed training and optimization using recent USTECm data.
Broker Consideration
Primary optimization and validation performed using:
Exness USTECm CFD data
Quantitative systems are sensitive to:
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Tick data differences
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Spread structure
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Execution model variations
Since most CFD brokers operate under Market Maker models, execution differences matter.
Backtesting on your specific Exness account type is strongly recommended before live deployment.
Trading Conditions
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Instrument: USTECm (Nasdaq CFD) on Exness
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Required timeframe: H1 only
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Minimum deposit: $90 advised (cent accounts recommended for smaller capital setups)
Not Designed For
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M1 / M5 scalping
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Multi-timeframe stacking
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Multi-asset trading inside one EA
Risk Modes
Fix_Lot_Mode
If set to true, a constant lot size is used.
Recommended only after thorough backtesting.
If set to false (recommended), dynamic position sizing is applied.
The model’s historical accuracy fluctuates approximately between 47% and 57%, therefore dynamic sizing helps adapt exposure relative to volatility and candle structure.
Fix_Lot
Used only when Fix_Lot_Mode = true.
If set to 0, the broker’s minimum lot size will be used.
Inputs
fraction_of_account
Percentage of account used for dynamic position sizing.
Active when Fix_Lot_Mode = false.
Fix_Lot_Mode
If true → constant lot size.
Fix_Lot
Used only when Fix_Lot_Mode = true.
If 0 → broker minimum lot size applied.
Operational Notes
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Not designed to guarantee profits
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Not immune to sudden market shocks
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Manual supervision during major macroeconomic events affecting the underlying asset is advisable
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Performance varies depending on execution quality and spreads
